

{"id":279,"date":"2016-01-17T22:46:34","date_gmt":"2016-01-17T21:46:34","guid":{"rendered":"https:\/\/project.inria.fr\/fraclab\/?page_id=279"},"modified":"2016-01-31T21:40:44","modified_gmt":"2016-01-31T20:40:44","slug":"finance","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/fraclab\/works-using-fraclab\/finance\/","title":{"rendered":"Finance"},"content":{"rendered":"<p><strong>Multifractal Analysis of the Algerian Dinar &#8211; US Dollar exchange rate <\/strong><br \/>\nSami Diaf and Rachid Toumache<br \/>\nJournal of Accounting, Finance and Economics, Vol. 5. No. 1. September 2015. p. 74 \u2013 83<\/p>\n<p><span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.jafepapers.com\/uploads\/2015\/September\/1446955147_6.%20Sami.pdf\" target=\"_blank\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Goodness of fit assessment for a fractal model of stock markets<\/strong><br \/>\nM Frezza<br \/>\nChaos, Solitons &amp; Fractals, 2014, Volume 66, pp 41\u201350<\/p>\n<p><strong>Fractal Analysis of Financial Time Series Using Fractal Dimension and Pointwise H\u00f6lder Exponents<\/strong><br \/>\nA. Kapecka<br \/>\nDynamic Econometric Models 2013, Volume 13, pp 107\u2212125<\/p>\n<p><strong>Modelling NASDAQ Series by Sparse Multifractional Brownian Motion<\/strong><br \/>\nPierre R.Bertrand, Abdelkader Hamdouni, Samia Khadhraoui<br \/>\nMethodology and Computing in Applied Probability, (23 July 2010), pp. 1-18.\u00a0 DOI: 10.1007\/s11009-010-9188-5<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Modelling-NASDAQ-Series-by-Sparse-Multifractional-Brownian-Motion.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Mod\u00e9lisation d&#8217;une s\u00e9rie financi\u00e8re par mouvement brownien multi-fractionnaire parcimonieux<\/strong><br \/>\nPierre R. Bertrand, Abdelkader Hamdouni, Nabiha Haouas, Samia Khadhraui<br \/>\n42\u00e8mes Journ\u00e9es de Statistique, 2010<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/modelisation-serie-financiere-par-mbm.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Modified detrended fluctuation analysis based on empirical mode decomposition for the characterization of anti-persistent processes<\/strong><br \/>\nXi-Yuan Qian, Wei-Xing Zhou, and Gao-Feng Gu<br \/>\nPhysics A: Statistical Mechanic and Its Applications, 390(23-24), 4388-4395, 2011<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/science-1.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Modified Holder exponents approach to prediction of the USA stock market critical points and crashes<\/strong><br \/>\nYu.A Kuperin, R.R. Schastlivtsev<br \/>\narXiv:0802.4460, 2008.<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Modified-Holder-exponents-approach-to-prediction-of-the-USA-stock-market-critical-points-and-crashes.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Subprime mortgage crisis detection in U.S. foreign exchange rate market by multifractal analysis<\/strong><br \/>\nJunjun Tang, Jing Wang, Cheng Huang, Guolun Wang, Xiong Wang<br \/>\nICYCS 2008: The 9th International Conference for Young Computer Scientists, pp 2999-3004, 2008.<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Subprime-mortgage-crisis-detection-in-U.S.-foreign-exchange-rate-market-by-multifractal-analysis.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Econophysics approach to the dynamics of the romanian exchange rate ROL-USD<\/strong><br \/>\nE. I. Scarlat, C. P. Cristescu, C. Stan, A. Preda, M. Mihailescu, L. Preda<br \/>\nUPB Sci. Bull., A, 69, (1), p. 43-56, 2007<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/full82402.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>An evolutionary quantum game model of financial market dynamics &#8211; Theory and Evidence<\/strong><br \/>\nCarlos Pedro Gon\u00e7alves, Carlos Gon\u00e7alves<br \/>\nSocial Science Research Network, 2007.<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/An-evolutionary-quantum-game-model-of-financial-market-dynamics-Theory-and-Evidence.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Resonating models for the electric power market<\/strong><br \/>\nCarlo Lucheroni<br \/>\nPhysical review. E, Statistical, nonlinear, and soft matter physics, vol. 76, 2007.<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Resonating-models-for-the-electric-power-market-.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Multifractal spectral analysis of the 1987 stock market crash<\/strong><br \/>\nCornelis A. Los, Rossitsa Yalamova<br \/>\nInternational Research Journal of Finance and Economics, 2006.<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Multifractal-spectral-analysis-of-the-1987-stock-market-crash.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Long-term dependence characteristics of European stock indices<\/strong><br \/>\nJoanna M. Lipka, Cornelis A. Los<br \/>\nEconWPA, 2004.<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Long-term-dependence-characteristics-of-European-stock-indices.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Multifractal analysis and local Hoelder exponents approach to detecting stock markets crashes<\/strong><br \/>\nI.A. Agaev, Yu.A. Kuperin<br \/>\ncond-mat\/0407603, 2004<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Multifractal-analysis-and-local-Hoelder-exponents-approach-to-detecting-stock-markets-crashes.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Pathwise identification of the memory function of a multifractional market model<\/strong><br \/>\nSergio Bianchi<br \/>\nInternational Conference on Stochastic Finance 2004, 2004<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/project.inria.fr\/fraclab\/files\/2016\/01\/Pathwise-identification-of-the-memory-function-of-a-multifractional-market-model.pdf\">More &#8230;<\/a><\/span><\/p>\n<p><strong>Enhancement of the prediction of actual market prices by modifying the regularity structure of a signal<\/strong><br \/>\nLyailya M. Karimova, Yerbol B. Kuandykov<br \/>\nThe Application of Econophysics, 2003<br \/>\n<span style=\"text-decoration: underline;\"><a href=\"https:\/\/books.google.fr\/books?id=DUOQho5EvbcC&amp;lpg=PP1&amp;ots=ydBGluscC1&amp;dq=Application+of+Econophysics:+Proceedings+of+the+Second+Nikkei+Econophysics+Symposium+-+Application+of+Econophysics&amp;pg=PA125&amp;hl=fr#v=onepage&amp;q&amp;f=false\" target=\"_blank\">More &#8230;<\/a><\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Multifractal Analysis of the Algerian Dinar &#8211; US Dollar exchange rate Sami Diaf and Rachid Toumache Journal of Accounting, Finance and Economics, Vol. 5. No. 1. September 2015. p. 74 \u2013 83 More &#8230; Goodness of fit assessment for a fractal model of stock markets M Frezza Chaos, Solitons &amp;\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/fraclab\/works-using-fraclab\/finance\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":914,"featured_media":0,"parent":193,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-279","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/pages\/279","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/users\/914"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/comments?post=279"}],"version-history":[{"count":2,"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/pages\/279\/revisions"}],"predecessor-version":[{"id":478,"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/pages\/279\/revisions\/478"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/pages\/193"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/fraclab\/wp-json\/wp\/v2\/media?parent=279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}